Job offer

European Commission; France; Sur place; EUR 40 000 - 60 000; Plein temps

Résumé du poste

Une opportunité de thèse passionnante s'offre au sein de la Commission Européenne pour travailler sur la structuration des données du patrimoine culturel. Vous développerez des méthodes innovantes pour naviguer et exploiter des ensembles de données massifs et multidimensionnels, avec un focus particulier sur le patrimoine bâti, tel que le chantier scientifique de Notre-Dame de Paris. Ce rôle exige créativité, compétences en informatique et un intérêt fort pour la recherche interdisciplinaire.

Qualifications

• Diplôme requis : ingénierie ou Master en informatique.
• Intérêt pour le travail multidisciplinaire.

Responsabilités

• Développer des méthodes de navigation et d'agrégation pour des données patrimoine.
• Analyser les corpus de données du patrimoine pour l'exploitation.
• Mettre en œuvre des algorithmes de projection et de compression.

Connaissances

Curiosité

Travail multidisciplinaire

Formation

Diplôme d'ingénieur ou Master en informatique

Description du poste

Organisation/Company CNRS Department Modèles et simulations pour l'Architecture et le Patrimoine Research Field Engineering Computer science Mathematics Researcher Profile First Stage Researcher (R1) Country France Application Deadline 26 Jun 2025 - 23:59 (UTC) Type of Contract Temporary Job Status Full-time Hours Per Week 35 Offer Starting Date 1 Oct 2025 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No

Offer Description

This thesis is part of the 80PRIME TEATIME project “Territoires en Evolution et Analyses Transversales Interdisciplinaires Multi-Echelles”. This project, which involves the LIRIS (Laboratoire d'Informatique en Images et Systèmes d'Information) and MAP (Modèles et Simulations pour l'Architecture et le Patrimoine) laboratories, has received financial support from the CNRS through the MITI interdisciplinary programs. Occasional short-term travels in Marseille are to be expected.

This work will rely on the dataset and digital ecosystem produced as part of the Notre-Dame de Paris scientific action.

--- About the Teatime project ---
The TEATIME project is funded by the 80PRIME program from the CNRS MITI. It targets the study of territories and their transformations at different scales, focusing on the built cultural heritage. Based on the semantic enrichment of spatialized representations, it aims to design mechanisms for better structuring and linking heterogeneous multidimensional datasets combining spatial, temporal and semantic characteristics, as a means of extracting new knowledge. The project's main case study is the Notre-Dame de Paris scientific worksite data corpus.

--- About LIRIS ---
LIRIS (Laboratoire d'InfoRmatique en Image et Systèmes d'information) is a joint research unit (UMR 5205) headed by CNRS, INSA Lyon, Université Claude Bernard Lyon 1, Université Lumière Lyon 2 and École Centrale de Lyon. With over 300 members, it covers a wide range of computer science fields, including artificial intelligence, computer vision, cybersecurity and data science. Its research also extends to the interfaces with human, social and environmental sciences.

--- About MAP ---
The MAP laboratory is a research unit (UPR 2002) of the CNRS Science Humaines & Sociales. Its activities lie at the crossroads of heritage science and data science, and focus on the design and development of digital methods and tools for heritage study and conservation.

Title : Cultural heritage datasets structuring and smart navigation : development of a multidimensional and multiscalar information compression approach based on X-LODs

Description :
Cultural heritage data are massive and characterized by their extraordinary diversity and multidimensional nature. These data simultaneously refer to space (3D), time (3D + T) and a wide range of thematic dimensions, creating an exceptionally rich informative framework. This thesis aims to meet the complex challenges raised by the volume and heterogeneity of these documentary corpora, and to significantly improve their exploitation by developing innovative navigation and aggregation methods.

Recent initiatives in heritage and data sciences, such as the work carried out as part of the Notre Dame de Paris scientific action, demonstrate that it is possible to aggregate these data, whether in 3D environments, or as graphs, using methods to identify the diverse relations that link them together (semantic, spatial, temporal, provenance, etc.). However, these visualization methods often lack intelligibility for the end user. Paradoxically, the richer the data representation, the less accessible it seems to be to analysis and understanding. Thus, to navigate in such scenes, we need to find ways of simplifying and compressing the information, to offer navigation modalities that make more sense to users according to their disciplinary profiles and research questions.

The main aim of this thesis is to develop methods for extracting simplified views of the dataset, guided by some degree of dimensional proximity, by representation scale, or by user interests. The methodology includes an in-depth analysis of existing heritage data corpora, the design and implementation of projection and compression algorithms to build levels of detail suited to the various dimensions of heritage data (X-LOD), and the creation of new navigation interfaces exploiting these new approaches.

Required profile and skills :
Engineering degree or Master's degree in computer science.
Curiosity and interest in multidisciplinary work